Subseasonal Prediction of European Extreme Temperature ...
Subseasonal Prediction of European Extreme
Temperature Events in S2S hindcasts
Ole Wulff
&
Daniela Domeisen
Institute for Atmospheric and Climate Science
Summer of 2018
ECMWF Ensemble mean 2m temperature anomaly forecast (shading) and ensemble spread
(contours) averaged over Scandinavia
Subseasonal prediction of extreme temperatures in Europe
2
Objectives
Is there extended prediction skill for extreme surface temperature
events (compared to climatologically average ones)?
What is the role of persistence?
Subseasonal prediction of extreme temperatures in Europe
3
Verification of S2S ensemble hindcasts
Surface temperature variability can be
determined by components with
predictability potential on S2S time
scales:
? low-frequency atmospheric
variability (possibly influenced by
ocean variability, Cassou et al., 2005;
Wulff et al., 2017)
? land-atmosphere interactions (soil
moisture memory, Seneviratne et al.,
2010)
from Cassou et al., 2005
from Seneviratne et al., 2010
Subseasonal prediction of extreme temperatures in Europe
4
Data & Methods
Data:
Hindcasts: S2S ensembles (Vitart et al., 2016)
? mostly ECMWF: 11 members, initialized twice weekly, only model versions 2016+
Verification: ERA-Interim reanalysis (Dee et al., 2011)
Methods:
Consider pentad mean anomalies of ??2?? in JJA with respect to the 1999-2010 lead
time-dependent climatology
5??
Extreme temperature event: exceedance of the 95th percentile of the ??2??
distribution
(again lead time-dependent)
Subseasonal prediction of extreme temperatures in Europe
5
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